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Strong in the analysis of operational and financial data

Proven ability to work with huge data sets and statistical computer languages (R, Python, SLQ, etc.) to modify data and extract insights.

Understanding of the benefits and downsides of various machine learning approaches, such as clustering, decision tree learning, artificial neural networks, etc.

Experience with applications and knowledge of sophisticated statistical principles and procedures (such as regression, the characteristics of distributions, the right use of statistical tests, etc.).

To optimise and improve product development, marketing tactics, and business plans, mine and analyse data from company databases.

Evaluate the efficacy and veracity of fresh data sources and data collection methods.

Create unique data models and algorithms to use with data sets.

The capacity to complete numerous tasks concurrently and meet deadlines.